Scalable Data Processing in Networked Systems

Scalable Data Processing in Networked Systems

by | May 3, 2021

PI: Anders Rantzer (LU). Co-PIs: Richard Pates (LU), Claudio Altafini (LiU), Anders Hansson (LiU). This project aims to develop scalable algorithms to monitor, predict, and analyze data from large-scale dynamic networks. In line with ELLIIT focus theme Big Data and...
Brain-Based Monitoring of Sound

Brain-Based Monitoring of Sound

by | May 3, 2021

Martin Enqvist, LiU & Maria Sandsten, LU The outcome of this project will be a set of optimized methods to continuously monitor recorded electroencephalogram (EEG) measurements from the brain in order to estimate and track sound processing in the brain. The...
Developing core–technologies for tree-based models

Developing core–technologies for tree-based models

by | May 3, 2021

Krzysztof Bartoszek, LiU and Niklas Wahlberg, LU Graph learning is an important topic in science and technology. In this project we will develop new methods for tree-structured graphs, motivated by phylogenetics but with potential use in other network-based...
Scalable Optimization for Learning in Control

Scalable Optimization for Learning in Control

by | May 3, 2021

PI: Anders Hansson (LiU), co-PI:Anders Rantzer (LU); with Johan Löfberg (LiU), Richard Pates (LU) Large-scale engineering applications put new demands on control theory, as most existing methods for analysis, design and verification do not scale well with increasing...